pandas_summary
An engine for ML/data tracking, visualization, explainability, drift detection, and dashboards, integrated with Polyaxon.
What is pandas_summary?
TraceML is an observability engine for machine learning and data science that provides experiment tracking, visualization, explainability, and drift detection. It integrates with Polyaxon to help teams log, monitor, and analyze ML experiments and data workflows. The tool supports offline usage and offers extended data profiling capabilities for pandas DataFrames.
Data scientists and ML engineers using Polyaxon for MLOps who need robust experiment tracking, visualization, and data profiling within their workflows.
Developers choose TraceML for its deep integration with Polyaxon and major ML frameworks, its rich visualization support across multiple libraries, and its comprehensive data profiling features that extend standard pandas summaries.
Overview
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Use Cases
Best For
- Tracking machine learning experiments across multiple frameworks like PyTorch and TensorFlow
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